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The dynamic field parameters calculated with the HBM are used as input data for the computation of the SIF through the VCCT.
In the proposed procedure, the dynamic forces and displacements calculated with the HBM at specific nodes of the ROM of the system are used as input data for the computation of the SIF through the VCCT.
As shown in Fig.3 and according to the value reported in Table 1, the HBM permits to achieve very accurate displacement and force fields with a drastic reduction of the computational time.
Implicit solver ABAQUS HBM+VCCT Reduction ratio Computational time [s] 93600 158 ~600 Calculation of SIF is then performed with the VCCT, starting from the displacement and force fields obtained with the HBM.
It was found that a reduction factor of about 600 in terms of computational time can be achieved with the proposed procedure with no loss of accuracy.

The data error between the calculated result and the original experiment one is less than 5%, so the calculation precision meets the requirements.
Especially for the latter, if used properly, can be obtained the data by computer simulation which are usually only need to use complicated and expensive measurement.
In which, Calculate / animation parameter is single point calculation, Data storage space is 1440deg, The calculation time step control is 30ms, Output data between is 5CA °, The calculated maximum regional is 14400CA °, Hybrid external mixing style, Gasoline calorific value is 43500KJ/kg, theoretical air fuel ratio is 14.7, 燃烧模型韦伯模型 The combustion model is Weibull model, and the Webb constant is 6.5.
As can be seen, the calculation results error does not exceed 5% with test data, simulation results and test results are good agreement, indicating that this model can be used for parameter optimization calculation of the engine.
shut angle and small exhaust advance angle makes its power and torque reduction.

Environmental safety analysis for slope under the situation with and without load on top surface Keping Chen1, a, Jinyuan Liu2,b and Bingxiang Yuan3,c 1School of Geosciences and Info-Physics, Central South University,Changsha, Hunan, 410083, China 2Department of Civil Engineering, Ryerson University,350 Victoria Street, Canada 3School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou,730000, China achenkepingcsu@126.com, bJinyuanliu2011@126.com, cBingxiangyuan21@126.com Keywords: slope; loading; stability; strength reduction; dilation angle Abstract.
The above works are mainly done to analyze the safety factor of slope, while with little consideration of the variation of slip plane as well as the interaction of cohesion, friction angle and dilation angle; so in the present paper, the dilatancy effect of slope under the situation with and without load on top surface are discussed by strength reduction method (SRM).
The safety factor of slope is calculation by strength reduction method (SRM), which is widely applied in numerical analysis [2]; and the convergence of calculation is chosen to define the failure of slope.
So the boundary of these two parts can be defined as the slip plane, and the data of the boundary is obtained by FISH program.
Two-dimensional slope stability analysis by limit equilibrium and strength reduction methods.

One additional goal of the study is to obtain a consistent reference data basis - by using the developed tools to analyze existing aircraft - prior to use these tools in new designs with the features of low speed, low wing loading and low power.
Regarding this, an overall picture of the flight power reduction, since the first successful aircraft designs is the point of interest.
Airfoil data from [17] are taken as additional information.
The tool to obtain propeller thrust and power coefficients Ct and Cp is based on the “blade element” and the “momentum change” theories [16]; the main input are the geometric data and presumed airfoil shapes of each aircraft.
It can be noticed through this figure the reduction in the drag coefficient CD from 1890-1910 aircraft to Condor and Solar Challenger.

Introduction With the rapid development of computer and communication technologies, vast volume of video data are generated increasingly and spread fast, so how to manage such a huge amount of video contents has become an urgent problem[1].
Video summarization is an indispensable tool of any practical video content management system in large volume video data[2].
RS is a novel and powerful tool introduced by Pawlak et al for data analysis.
CONCLUSIONS Conventional video summarization extraction technologies have deficiency of low efficiency and redundant data.
Then RS theory is introduced to data reduction.

The harmonic motion of the actuator was controlled by Instron system, while data acquisition was done by multi-channel system „MCG Plus” of Hottinger.
The material data of plexiglass are as follows: density r = 1318.7kg/m3 and Young modulus E = 4.51 GPa.
Beam with two stiffness reductions.
α1 α2 α3 Real stiffness reduction 0.85 0.70 0.55 Detected stiffness reduction 0.86 0.67 0.54 Fig. 5.
For the three segment stiffness loss, beam reconstructions gave the best results using only rotational vibration data (Table 1).

Section 3 provides the data used in this study.
Methodology and Data Fertilizer use intensity is the ratio of fertilizer input to agricultural output in the production process.
Data of agricultural output and sown area by different crops were collected from China Statistical Yearbook issued by the State Statistics Bureau.
Data of fertilizer use amount was gathered from The Compiled Materials of Costs and Profits of Agricultural Products of China issued by the National Development and Reform Commission.
To make data suitable for the complete decomposition analysis by crops, we divide the agricultural economy of China into three sectors: the grain crops sector, the economic crops sector, and the horticultural crops sector.

We bring together a large body of experimental data that includes the size of more than 30,000 grains obtained from 23 thin film samples of Al and Cu with thicknesses in the range of 25 to 158 nm.
A large body of experimental data is compared with the results of two dimensional simulations of grain growth with isotropic boundary energy.
Experiment and Simulation Fig. 1 – Probability densities for reduced grain area for the experimental data for Al and Cu films (filled circles), for two dimensional simulations with isotropic boundary energy (open diamonds), and two dimensional simulations with anisotropic boundary energy (open inverted triangles).
Surface Energy and Elastic Strain Energy: In thin films, driving forces other than grain boundary energy reduction can promote the growth of grains.
The raw grain area data from Frost et al.’s simulations are not available to the authors, and, as a result, it is not possible to compare their results directly with the probability densities shown in Fig. 1.

The experimental apparatus consisted of an Instron servohydraulic materials test machine, a data acquisition system, Kyowa MCG-6, and a microcomputer with LabView software.
The guidelines established in ASTM Standard E739 [7], have been followed to generate the linear logarithmic SN curve, as expressed in Eq.1 from the test data
The evaluation of the experimental test data was taken with a confidence level of 95.4%.
Service life as a function of the selected SN curve Conclusions The proposed test methodology was used to detect the influence of CO2 partial pressure on the fatigue resistance of tensile armor wires and was seen as a useful tool to generate design data for pipes designed to operate with fluids presenting high concentrations of CO2.The reduction in service life, calculated as a result of CO2 partial pressure, should not be disregarded for design purposes and the incorporation of experimental data in design tools enhances the reliability of the riser systems.
[7] ASTM Standard E739, in: Standard Practice for Statistical Analysis of Linear or Linearized Stress-Life (S-N) and Strain – Life (ε-N) Fatigue Data (2004)

First the data on different antennas is divided into blocks.
We can obtain multiple sets of data, and finally choose the optimal PAPR performance of a group of data to be transmitted.
Firstly, the first sub-block of data is inverted and replaced, while maintaining the same data block of the other sub, thereby generating 4 new set of data sequences.
Then transform the third sub-block of data, turn to operation, finally we will obtain the set of data with optimal PAPR performance[4].
When ai,j is 1, the data on the two antennas is kept to the same, when ai,j is 2, the data of the j-th data blocks on the two antennas is simultaneously negated; When ai,j is 3，the data of the j-th data blocks on the two antennas is replaced; When ai,j is 4, the data of the j-th data blocks on the two antennas is replacement negated.